Public Status · Version 2026.08

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Principal Investigator
Dr hab. Elena Markiewicz
Laboratory
Laboratory of Quantum Information & Algorithmic Foundations (QIAF Lab)
Funding Agency
European Commission — Horizon Europe Quantum Flagship
Grant ID
Grant Agreement No. 101083921
Allocated Budget
EUR 1,450,000 (BBQ Institute allocation)
Project Period
2024–2028

Scientific Objective & Core Research Questions

What distributed routing algorithms minimize entanglement purification latency while maintaining threshold fidelity across multi-hop quantum networks?

Work Packages & Methodological Roadmap

  1. Designing decentralized quantum routing algorithms utilizing surface code stabilizers and graph state transformations.
  2. Simulating 1,000+ node quantum network topologies on the BBQ CeNT HPC tensor simulation cluster.
  3. Benchmarking dynamic link allocation against fiber degradation noise profiles measured in Polish optical networks.

Project Deliverables & Software Artefacts

  • Q-RouteSim: High-performance C++20 discrete-event simulator for quantum repeater networks.
  • Open quantum network benchmark repository and topological error datasets.
  • Standardization drafts submitted to the European Quantum Internet Alliance (QIA).

Project Description

Building the future Quantum Internet requires robust communication protocols that can establish high-fidelity entanglement between distant quantum processors despite transmission losses and detector imperfections. Project QUANTUM-NET investigates the mathematical and software foundations of autonomous, fault-tolerant quantum routing.

Project Milestones & Reporting

  • Mid-term review successfully completed in Brussels in June 2026.
  • Collaborating with Max Planck Institute and TU Delft.

Foundation References & Publications

External scholarly reference · 2016Third-party work

The FAIR Guiding Principles for Scientific Data Management and Stewardship

Mark D. Wilkinson, Michel Dumontier, IJsbrand Jan Aalbersberg, Gabrielle Appleton, Myles Axton, Arie Baak, Niklas Blomberg, Jan-Willem Boiten, Luiz Bonino da Silva Santos, Philip E. Bourne, Jildau Bouwman, Anthony J. Brookes, Tim Clark, Mercè Crosas, Ingrid Dillo, Olivier Dumon, Scott Edmunds, Chris T. Evelo, Richard Finkers, Alejandra Gonzalez-Beltran, Alasdair J. G. Gray, Paul Groth, Carole Goble, Jeffrey S. Grethe, Jaap Heringa, Peter A. C. 't Hoen, Rob Hooft, Tobias Kuhn, Ruben Kok, Joost Kok, Scott J. Lusher, Maryann E. Martone, Albert Mons, Abel L. Packer, Bengt Persson, Philippe Rocca-Serra, Marco Roos, Rene van Schaik, Susanna-Assunta Sansone, Erik Schultes, Thierry Sengstag, Ted Slater, George Strawn, Morris A. Swertz, Mark Thompson, Johan van der Lei, Erik van Mulligen, Jan Velterop, Andra Waagmeester, Peter Wittenburg, Katherine Wolstencroft, Jun Zhao, Barend Mons

Scientific Data Vol. 3, pp. 160018(2016). DOI: 10.1038/sdata.2016.18

Defines the principles that digital research objects should be Findable, Accessible, Interoperable, and Reusable for people and machines.

External scholarly reference · 2017Third-party work

A Manifesto for Reproducible Science

Marcus R. Munafò, Brian A. Nosek, Dorothy V. M. Bishop, Katherine S. Button, Christopher D. Chambers, Nathalie Percie du Sert, Uri Simonsohn, Eric-Jan Wagenmakers, Jennifer J. Ware, John P. A. Ioannidis

Nature Human Behaviour Vol. 1, pp. 0021(2017). DOI: 10.1038/s41562-016-0021

Sets out practical measures to improve the reliability and efficiency of scientific research through stronger methods, transparency, and incentives.